Inventory · AI Forecasting
Order what you need. Before you need it.
AI that reads your job history, seasonal patterns and upcoming bookings to predict parts demand 4 weeks out — so you order at the right time, in the right quantity.
How AI Forecasting Works
Four signals. One prediction. Zero guesswork.
Autroid's forecasting engine analyses your service data — not industry averages — to predict what you'll need next.
Learns from 24 months of your job card data
The AI analyses every part consumed across every job card in your history. It builds consumption patterns per SKU, per service type, per vehicle make and per month of the year.
Reads your upcoming booking schedule
Autroid connects to Operations to read the next 4 weeks of confirmed bookings and scheduled preventive maintenance. It maps the jobs to expected parts requirements — before the job even starts.
Applies seasonal adjustment signals
Detects patterns like the April–June AC service spike, the monsoon wiper blade rush and the winter battery failure season. Adjusts forecasts with seasonal multipliers calibrated to your location's data.
Generates prioritised reorder suggestions
The output is a ranked list of SKUs to order now, order soon, or monitor. Each suggestion shows the forecast quantity, recommended order size and AI confidence level.
Converts approved suggestions to POs in one tap
Your purchase manager reviews the forecasted reorder list and converts approved items to purchase orders — with vendor, quantity and price pre-filled. No separate PO workflow.
The forecasting toolkit for auto service businesses.
Capabilities that go well beyond a simple reorder point — designed for the complexity of multi-branch, multi-make service operations.
Demand forecast (4-week horizon)
Per-SKU, per-warehouse demand forecast for the next 4 weeks. See expected consumption quantity and the data signals driving the forecast — job schedule, historical trend, seasonal factor.
Seasonal spike pre-alerts
Alerts sent 3–4 weeks before predicted demand spikes — AC gas before summer, wiper blades before monsoon, anti-freeze before winter. Never scramble for stock again.
Dead stock & slow-mover identification
Weekly auto-classification of every SKU into active, slow-moving (< 20% of expected movement) and dead (0 movement in 90 days). Suggested action for each: markdown, transfer or vendor return.
Cash-flow aware order sizing
Forecasted order quantities are constrained by your configured working capital limit. If the full forecast order would exceed your cash allocation for inventory, Autroid prioritises by criticality.
One-tap PO conversion
Reviewed and approved forecast suggestions convert directly to purchase orders — preferred vendor, price and recommended quantity pre-filled. Forecasting and purchasing in one flow.
Forecasting that gets smarter every week.
Autroid's demand AI is not a generic model — it is trained on your data. The more job cards you process, the more accurate its predictions become.
Job-schedule-aware demand engine
Unlike generic forecasting tools, Autroid reads your actual confirmed bookings 4 weeks out and maps them to parts requirements. If you have 18 AC services scheduled in the next week, it knows you need 18 × AC gas charges — before you do.
Self-calibrating seasonal model
Seasonal patterns are learnt from your own historical data — not national averages. A workshop near a highway sees different seasonal peaks than a city dealership. Autroid models yours.
Forecast accuracy feedback loop
After each 4-week period, Autroid compares its forecast to actual consumption and surfaces accuracy metrics. Items where the model was off by > 20% are automatically flagged for re-tuning with updated assumptions.
Measured Impact
What AI forecasting saves.
Outcomes from Autroid customers running AI forecasting for 6+ months.
Optimised reorder quantities reduce overstocking on slow-moving items. 3-branch workshops report ₹2.4L/year in reduced carrying costs — recovered entirely within 6 months.
For items consumed more than 20 times per month, the AI achieves 89%+ forecast accuracy within 8 weeks of go-live. Accuracy improves steadily as more job card data accumulates.
Seasonal pre-alerts give your purchase team 3–4 weeks of runway to stock up before demand peaks — at normal prices, not panic-buy rates.
Dead stock identification and action recommendations (markdown, transfer, vendor return) free up ₹60K–₹1.8L tied up in slow-moving inventory within the first 90 days.
Never run out of stock again
See how Autroid Inventory eliminates stockouts, cuts dead stock by 38% and automates every purchase order — in a 30-minute live demo.